Data Engineer

Description

Job Summary: Development of predictive models and neural networks, focusing on machine learning, deep learning, and statistical analysis to uncover meaningful insights. Key Highlights: 1. Development of predictive models and neural networks 2. Use of machine learning and deep learning algorithms 3. Data collection and preparation for analysis Development of predictive models and neural networks, as well as creation of statistical documentation, requiring: * Use of machine learning, deep learning, and statistical analysis algorithms * Data collection and preparation for analysis (including cleaning, enrichment, structuring, and sampling feasibility) * Execution of exploratory data analysis based on statistical inference to identify meaningful insights for building machine learning models * Predictive modeling, segmentation, anomaly analysis * Understanding of Case Studies with Descriptive Analysis * Application of mathematics, statistics, machine learning, and deep learning with neural networks * Programming languages and tools: R, Python, SPSS, and SAS * Platforms: On\-premises or Cloud ### **Employment Type:** Contractor (PJ) ### **Department:** Corporate